Submit for the EARLI SIG17 conference 2020 in Vienna here: www.sig17.net
Submit for the EARLI SIG17 conference 2020 in Vienna here: www.sig17.net
My paper “Exploring social relationships in “a mixed way”: Mixed Structural Analysis” was accepted for presentation at the next AERA Annual Meeting in Toronto in April 2019. If you prefer to read about this, wait for the soon-to-be-published edited volume on Mixed Methods Social Network Analysis: Theories and Methodologies in Learning and Education.
Three presentations have just been accepted for 2018:
I am honored that AERA’s International Relations Committee has found my four contributions to the AERA General Meeting 2017 worthy for recognition! The respective AERA International Travel Award was awarded to me on 28.4.2017 in San Antonio, TX.
On April 22, I organize the Toastmasters District 95 Division D Spring Conference in Vienna. From 10:00 to 18:00, Toastmasters and guests from Austria, Hungary, Slovenia and other places are gathering to compete in the Evaluation and International Speech contests (the “World Championship of Public Speaking”), to learn, and to have fun.
Please use this link to register: https://sites.
I hope to see you there!
March 23 I will give a workshop on social network analysis for business during the Future of Work congress. Find more details about that congress and the content on the website/in the program.
Together with Marc Sarazin and Martin Rehm, I’m co-organizing a session on “Networks for Learning” at the upcoming 3rd European Conference on Social Networks (EUSN).
This session focuses on papers that use social network analysis to understand how individuals involved in activities related to education and learning (pupils, students, teachers, school
management, policy makers etc.) are affected by or use their social networks for educational purposes or in educational settings. The session’s papers will build on the assumption that actors are embedded within social networks which provide opportunities and constraints, in turn affecting individuals’ behaviours and attitudes (Monge & Contractor, 2003, Emirbayer & Goodwin, 1994, Borgatti & Halgin, 2011). Within this framework, the session welcomes papers that seek to make empirical, methodological and/or theoretical contributions to understandings of social networks in learning and education. These could include papers on:
Contributions from all fields (Education, Sociology, Computational Social Science, Psychology, Organisation Science, Anthropology, Statistics, etc.) are welcome, including interdisciplinary
endeavours combining insights from educational or learning sciences with social network perspectives. The session welcomes research using qualitative, quantitative, and mixed methods.
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